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Multiple forms of activity-dependent intrinsic plasticity in layer V cortical neurones in vivo
Authors:Jeanne T. Paz,Sé  verine Mahon,Pascale Tiret,Sté  phane Genet,Bruno Delord, Sté  phane Charpier
Affiliation:INSERM U 667, Collège de France, F-75005, Paris, France;Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière, UPMC/INSERM UMR-S 975;CNRS UMR 7225, Hôpital Pitié-Salpêtrière, F-75013, Paris, France;UPMC Univ Paris 06, UMR 7222, ISIR, 4 place Jussieu, F-75005, Paris, France;CNRS, UMR 7222, 4 place Jussieu, F-75005, Paris, France;UPMC Univ Paris 06, F-75005, Paris, France
Abstract:Synaptic plasticity is classically considered as the neuronal substrate for learning and memory. However, activity-dependent changes in neuronal intrinsic excitability have been reported in several learning-related brain regions, suggesting that intrinsic plasticity could also participate to information storage. Compared to synaptic plasticity, there has been little exploration of the properties of induction and expression of intrinsic plasticity in an intact brain. Here, by the means of in vivo intracellular recordings in the rat we have examined how the intrinsic excitability of layer V motor cortex pyramidal neurones is altered following brief periods of repeated firing. Changes in membrane excitability were assessed by modifications in the discharge frequency versus injected current ( F–I ) curves. Most (∼64%) conditioned neurones exhibited a long-lasting intrinsic plasticity, which was expressed either by selective changes in the current threshold or in the slope of the F–I curve, or by concomitant changes in both parameters. These modifications in the neuronal input–output relationship led to a global increase or decrease in intrinsic excitability. Passive electrical membrane properties were unaffected by the intracellular conditioning, indicating that intrinsic plasticity resulted from modifications of voltage-gated ion channels. These results demonstrate that neocortical pyramidal neurones can express in vivo a bidirectional use-dependent intrinsic plasticity, modifying their sensitivity to weak inputs and/or the gain of their input–output function. These multiple forms of experience-dependent intrinsic changes, which expand the computational abilities of individual neurones, could shape new network dynamics and thus might participate in the formation of mnemonic motor engrams.
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